Differential effects of aging on dendritic spines in visual cortex and prefrontal cortex of the rhesus monkey
Introduction
Aging humans and non-human primates (NHPs) often develop cognitive impairment revealed by dorsolateral prefrontal cortex (dlPFC)-dependent cognitive tasks. Two tasks used to evaluate dlPFC function in NHPs are the delayed nonmatching-to-sample recognition memory task (DNMS) and the delayed response test of visuospatial working memory (DR) (Rapp and Amaral, 1989, Luebke et al., 2010). DR performance critically requires dlPFC integrity (Gross and Weiskrantz, 1962, Divac and Warren, 1971), and changes in dlPFC morphological and electrophysiological characteristics correlate with changes in DNMS performance (Peters et al., 1998, Chang et al., 2005, Shamy et al., 2011). Aging rhesus monkeys are generally impaired in both acquisition and performance across increasing memory delays on DR and DNMS (Rapp and Amaral, 1989, Roberts et al., 1997, Rapp et al., 2003, Nagahara et al., 2010), suggesting that dlPFC function may be degraded in aged animals. This can be contrasted with the relative preservation of function in aging humans and NHPs with respect to visual discrimination tasks not reliant on dlPFC (Bartus et al., 1979, Rapp, 1990, Rapp et al., 2003).
The delineation of the molecular and structural alterations that underlie these deficits is an important focus of research in cognitive aging. Normal aging is not associated with significant neuronal loss in the human (Pakkenberg and Gundersen, 1997) or macaque neocortex (Peters et al., 1994). Instead, age-related cognitive decline is thought to result from more subtle synaptic alterations (Morrison and Hof, 1997).
Most excitatory synapses between cortical neurons occur on dendritic protrusions called spines (Nimchinsky et al., 2002). Pyramidal neurons in the macaque dlPFC lose a significant proportion of their dendritic spines with age (Hao et al., 2007, Dumitriu et al., 2010), and morphologically distinct types of spines are differentially affected (Benavides-Piccione et al., 2013). Among spines with a discernable neck (non-stubby spines), the density of spines with large head diameters (mushroom spines) does not decrease with age in rhesus monkey dlPFC (Hao et al., 2007, Dumitriu et al., 2010). Instead, the age-related decrease in spine density is driven by the loss of long, thin spines (Hao et al., 2007, Dumitriu et al., 2010), thought to be highly plastic (Kasai et al., 2010a, Kasai et al., 2010b) and critically important for working memory (Arnsten et al., 2012). We have hypothesized that the “synaptic strategy” underlying function of dlPFC requires the extensive ongoing synaptic plasticity and flexibility that thin spines provide (Morrison and Baxter, 2012). We hypothesize further that while synaptic plasticity also occurs in sensory areas such as the primary visual cortex (Trachtenberg et al., 2002, Gilbert and Li, 2012), the balance between stability and plasticity likely differs from dlPFC, which should be reflected in regional differences in both spine populations and vulnerability to age. Thus, we chose V1 for a regional comparison of age-related effects relevant to synaptic stability vs. plasticity. Other groups have also drawn regional comparisons between V1 and dlPFC in the context of synaptic aging (Peters et al., 1998, Peters et al., 2001, Amatrudo et al., 2012). To address this issue, we imaged pyramidal neurons in layer III of Brodmann areas 46 (dlPFC) and 17 (V1) and examined the density and morphology of dendritic spines along segments of apical and basal dendrites. We found that the density of thin spines is reduced with age in dlPFC, but not in V1, and that the density of other spine types does not change with age in either area.
Section snippets
Experimental procedures
All neurons analyzed were newly loaded for this experiment using tissue that had been stored at 4 °C in a solution of 0.1% sodium azide in phosphate-buffered saline for up to 9 years prior to loading. Tissue slices were stored free-floating in well plates sealed with Parafilm and checked periodically to ensure adequate solution was present. Storage solution was changed whenever there was visible evidence of evaporation in one or more plates. Our replication and extension of previous findings from
Behavior
As previously shown using some of the same monkeys included in the current study (Dumitriu et al., 2010), in this particular cohort of animals, there was no difference between the young and aged groups in the number of trials required to reach the criterion of 90% correct at 0- or 1-s delay or on percent correct selections with delay intervals of 5, 10, 15, 30, or 60 s on the DR test (Fig 1A). This was due in large part to several young animals, which were slow to acquire the task and performed
Methodological implications
These analyses were performed on pyramidal neurons that were stored at 4 degrees in phosphate-buffered saline containing 0.1% sodium azide for several years prior to intracellular loading with Lucifer Yellow and morphometric analyses. It is important to note that while absolute spine densities were lower in this study, we fully replicated our previous findings in area 46 regarding thin spine loss (Dumitriu et al., 2010) that were generated from completely different neurons in a subset of the
Conclusion
These results confirm prior findings (Peters et al., 2008, Dumitriu et al., 2010) that aging has a profound effect on dendritic spines in dlPFC, with aged animals having lower spine density and a smaller proportion of thin spines on both apical and basal dendritic trees than younger animals. In addition, we confirm previous findings (Dumitriu et al., 2010) that the proportion and size of thin spines in dlPFC correlates with the speed of DNMS task acquisition. Finally, we found that V1 pyramidal
Conflicts of interest
None.
Acknowledgments
The authors thank William Janssen and Dr. Yuko Hara for their expert advice and assistance. This work is supported by AG016765, AG006647, and AG010606 to J.H.M. from the NIA, and in part by the Intramural Research Program of the NIA.
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